Prof. Xiaojun Chen
Project Description and Objectives:
Oral disease is one of the most common diseases for mankind. As the treatment of oral diseases, oral and maxillofacial surgery, aims to treat the entire craniomaxillofacial complex: anatomical area of the mouth, jaws, face, skull, as well as associated structures. However, the limited intraoperative visibility, especially the anatomical intricacies, makes this kind of surgery a demanding procedure. Also, the accuracy and stability of the operations are very difficult to be guaranteed. In this project, with the integration of artificial intelligence, computer-assisted surgical planning, virtual reality, computer graphics, and 3D-Printing, the methodology of the design and manufacturing of customized template is presented for oral and maxillofacial surgery, aiming to meet the unique demands of China’s clinical application.
Based on relevant basic theory and innovative algorithms, computer-assisted AI-based preoperative planning system and virtual simulation system will be realized to determine the optimal surgical path for oral and maxillofacial surgery. Then, the system for digital design and manufacturing of customized templates will be presented. Through phantom experiments and clinical trials, the influence of the factors such as the geometrical contours, material properties, and processing parameters of the devices on the processing quality and clinical accuracy will be revealed. Therefore, those parameters can be optimized to demonstrate its accuracy, validity, and reliability. Ultimately, an integrated platform for digital design and manufacturing of customized templates will be formed, aiming to provide innovative technical methods for the personalization, digitalization, and minimal invasion of oral and maxillofacial surgery, and greatly improve the general life quality of the patients.
The interested student should be very proficient in C++ programming and have a basic knowledge of medical image processing.
Develop a software.
Finish a research report.
Give two research presentations (a. references review; b. technical presentation).
Submit one paper to journal as a co-author.